The global big data and business analytics market is projected to grow to $961 billion by 2032. A substantial portion comprises analytics software, most of which supports time series regression analysis. This analytics method is widely used across business domains and is helpful in most forms of planning, forecasting, monitoring, and modeling. That’s exactly why it’s useful to be well-versed in forms of regression analytics and know how it can be used in your business area. 

In this blog post, you’ll find out about regression analysis of time series and its difference from standard regression analysis. Moreover, you’ll learn how to conduct a regression analysis in clear steps. You’ll also review business use cases of using data regression analysis, explore challenges and limitations, and find out whether this analysis method can work for your business.